Custom MCPs for stubborn tools
Built from a vendor's API when its own connector returns summaries instead of the raw calls, messages and activity.
How we work · What we build · Step 03
The tool your team needs, or the connector your vendor never shipped
Small apps built for one GTM job, one connector to your whole business, and agents that can work a tool even when it has no API.
Book a call30 min · no prep needed
What you're after
01
One screen instead of five tabs
The account, the signals, the draft and the next step in one place, built for how your reps work.
02
AI that can reach all your data
Your agents read the full record, and no vendor decides what data you get back.
03
Approvals that keep up
If approving takes longer than doing the work, people stop approving. A good review screen makes it the faster option.
04
No dead ends
If a tool won't integrate, we build the connector from its API. If it has no API, an agent can still click the buttons.
What the connector exposes
MCP (Model Context Protocol) is the standard way AI tools connect to other systems. Illustrative: the tools a connector to Northwind's business might expose. Companies, people and numbers are fictional.
| Tool | The question it answers | What it reads |
|---|---|---|
| get_account_timeline | What has this account seen from us, and what did they do? | Every touch, person and channel for one account, from your warehouse |
| get_journey_stage | Where is this buyer, and what usually comes next? | Your model of how your business works |
| get_play | What does our playbook say to do for a new VP Operations? | The play library and strategy files |
| search_calls | What did operations buyers say about peak-season overtime? | Raw call transcripts, not a vendor's summary |
| list_new_signals | Which accounts have a new reason to talk this week? | Back-tested signals, refreshed on a schedule |
| funnel_report | Where in the funnel are we losing the most revenue? | Reporting on your warehouse |
| log_action | Record what I drafted and who approved it. | Writes to the action log, and nowhere else |
What we build
The connector to your business
One MCP on your warehouse that every person and agent reads through, so they all see the same numbers.
GTM data warehouseCustom apps
Small tools for one frequent job: a review queue for AI drafts, a rep's daily call list with context, an account brief page, a form that writes to three systems.
Screen-driving agents, as a last resort
Where a tool has no API, an agent works the interface the way a person would, with each action logged, and changes that matter approved.
Why vendor connectors leave gaps
A connector per vendor
- Each covers part of one product
- Summaries come back instead of the raw data
- Every agent sees a different slice
Your own connector
- One connector across your whole business
- Raw data, from tables you own
- Every agent action logged
When we build one
- Step 011
Connect your data
The connector is how AI reads your warehouse and tools in the first place.
- Step 022
Prioritize by revenue impact
We build a new one only when the play at your costliest decision needs it.
- Step 033
Ship into the tools your team uses
Connectors plug into your team's AI workspace. Apps live where your team approves work.
- Step 044
Keep improving
We harden what gets used and drop what doesn't.
Where to start
Implementation
Most connectors and apps are built in Implementation. A small one can fit in the bootcamp if the first play needs it.
Before you book
We already built our own MCPs. Do you replace them?
No. Agents read through the ones that work. We add tools where they stop, for example raw call text or a full account timeline.
Is this custom software development?
Narrowly, yes. Small tools for specific GTM jobs, built fast with coding agents. We don't build platforms.
Who maintains it, and where does it run?
You own the code, in your repo. It runs on infrastructure you choose and your security team approves, or we run it for you through Managed Agents. We document it so your GTM engineer can add tools.
Is a screen-driving agent reliable?
For the right jobs. We use one only where there's no API. Every action is logged, and a named person approves changes that matter.
Where's your line stuck?
Show us the workaround
30 minutes. Bring the spreadsheet or the five-tab process. We'll tell you whether a connector or an app fixes it.
Book a call